A Novel Feature Map Generation and Integration Method for Attention Based Visual Information Processing System using Disparity of a Stereo Pair of Images 


Vol. 17,  No. 1, pp. 55-62, Feb.  2010
10.3745/KIPSTB.2010.17.1.55


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  Abstract

Human visual attention system has a remarkable ability to interpret complex scenes with the ease and simplicity by selecting or focusing on a small region of visual field without scanning the whole images. In this paper, a novel feature map generation and integration method for attention based visual information processing system is proposed. The depth information obtained from a stereo pair of images is exploited as one of spatial visual features to form a set of topographic feature maps in our approach. Comparative experiments show that correct detection rate of visual attention regions improves by utilizing depth feature compared to the case of not using depth feature.

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[IEEE Style]

M. C. Park and K. J. Cheoi, "A Novel Feature Map Generation and Integration Method for Attention Based Visual Information Processing System using Disparity of a Stereo Pair of Images," The KIPS Transactions:PartB , vol. 17, no. 1, pp. 55-62, 2010. DOI: 10.3745/KIPSTB.2010.17.1.55.

[ACM Style]

Min Chul Park and Kyung Joo Cheoi. 2010. A Novel Feature Map Generation and Integration Method for Attention Based Visual Information Processing System using Disparity of a Stereo Pair of Images. The KIPS Transactions:PartB , 17, 1, (2010), 55-62. DOI: 10.3745/KIPSTB.2010.17.1.55.

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